{
 "cells": [
  {
   "cell_type": "code",
   "id": "initial_id",
   "metadata": {
    "collapsed": true,
    "ExecuteTime": {
     "end_time": "2025-07-23T06:44:49.340042Z",
     "start_time": "2025-07-23T06:44:49.163746Z"
    }
   },
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import numpy as np\n",
    "from pandas.conftest import names\n",
    "from scipy.ndimage import label\n",
    "from sklearn.model_selection import train_test_split\n",
    "from streamlit import header\n",
    "\n",
    "# 解决画图中文乱码问题\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei']\n",
    "plt.rcParams['axes.unicode_minus'] = False"
   ],
   "outputs": [],
   "execution_count": 33
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-07-23T06:29:35.769910Z",
     "start_time": "2025-07-23T06:29:35.304268Z"
    }
   },
   "cell_type": "code",
   "source": [
    "df = pd.read_csv('./my_test_processed_data/pediatric_raw.csv', encoding='utf-8')\n",
    "df.info()"
   ],
   "id": "4e50acc0625ad22b",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 101602 entries, 0 to 101601\n",
      "Data columns (total 4 columns):\n",
      " #   Column      Non-Null Count   Dtype \n",
      "---  ------      --------------   ----- \n",
      " 0   department  101602 non-null  object\n",
      " 1   title       101602 non-null  object\n",
      " 2   ask         101602 non-null  object\n",
      " 3   answer      101602 non-null  object\n",
      "dtypes: object(4)\n",
      "memory usage: 3.1+ MB\n"
     ]
    }
   ],
   "execution_count": 2
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-07-23T06:29:36.596637Z",
     "start_time": "2025-07-23T06:29:36.563802Z"
    }
   },
   "cell_type": "code",
   "source": "print(df.groupby('department').count())",
   "id": "6844c93583c5ec80",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "            title    ask  answer\n",
      "department                      \n",
      "儿科其他         5839   5839    5839\n",
      "内科          25636  25636   25636\n",
      "外科           6350   6350    6350\n",
      "小儿口腔科          14     14      14\n",
      "新生儿科        10069  10069   10069\n",
      "眼科           2528   2528    2528\n",
      "神经内科        13759  13759   13759\n",
      "精神心理            7      7       7\n",
      "耳鼻喉科        17337  17337   17337\n",
      "营养保健科       18322  18322   18322\n",
      "骨科           1741   1741    1741\n"
     ]
    }
   ],
   "execution_count": 3
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-07-23T06:29:37.745562Z",
     "start_time": "2025-07-23T06:29:37.627669Z"
    }
   },
   "cell_type": "code",
   "source": [
    "# 画出各种各科的样本分布图，柱状图\n",
    "dept_counts = df['department'].value_counts()\n",
    "# dept_counts\n",
    "# 绘制柱状图\n",
    "plt.figure(figsize=(12, 6))\n",
    "dept_counts.plot(kind='bar', color='skyblue')\n",
    "plt.title('各科室样本数量分布')\n",
    "plt.xlabel('科室')\n",
    "plt.ylabel('数量')\n",
    "plt.xticks(rotation=45, ha='right')\n",
    "plt.tight_layout() # 自动调整子图参数，防止重叠\n",
    "plt.show()"
   ],
   "id": "3a229a253d286c3",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 4
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-07-23T06:29:38.651280Z",
     "start_time": "2025-07-23T06:29:38.622841Z"
    }
   },
   "cell_type": "code",
   "source": [
    "df['ask_len'] = df['ask'].apply(lambda x: len(x))\n",
    "# df.head(10)\n",
    "print(f'ask文本长度平均值：{df.ask_len.mean()}')\n",
    "print(f'ask文本长度标准差：{df.ask_len.std()}')\n",
    "print(f'ask文本长度最大值：{df.ask_len.max()}')\n",
    "print(f'ask文本长度最小值：{df.ask_len.min()}')"
   ],
   "id": "22b4eeb50405bf47",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ask文本长度平均值：59.83037735477648\n",
      "ask文本长度标准差：42.8330721222948\n",
      "ask文本长度最大值：1011\n",
      "ask文本长度最小值：1\n"
     ]
    }
   ],
   "execution_count": 5
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-07-23T06:29:39.586985Z",
     "start_time": "2025-07-23T06:29:39.566439Z"
    }
   },
   "cell_type": "code",
   "source": [
    "print(f'ask文本长度小于等于5：{len(df[df.ask_len <= 5])}')\n",
    "print(f'ask文本长度小于等于10：{len(df[df.ask_len <= 10])}')\n",
    "print(f'ask文本长度小于等于20：{len(df[df.ask_len <= 20])}')\n",
    "print(f'ask文本长度小于等于30：{len(df[df.ask_len <= 30])}')\n",
    "print(f'ask文本长度小于等于40：{len(df[df.ask_len <= 40])}')\n",
    "print(f'ask文本长度大于150：{len(df[df.ask_len > 150])}')\n",
    "print(f'ask文本长度大于200：{len(df[df.ask_len > 200])}')\n",
    "print(f'ask文本长度大于250：{len(df[df.ask_len > 250])}')\n",
    "print(f'ask文本长度大于350：{len(df[df.ask_len > 350])}')\n",
    "print(f'ask文本长度大于450：{len(df[df.ask_len > 450])}')\n",
    "print(f'ask文本长度大于512：{len(df[df.ask_len > 512])}')"
   ],
   "id": "6be76077f0637f2a",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ask文本长度小于等于5：13060\n",
      "ask文本长度小于等于10：14268\n",
      "ask文本长度小于等于20：17602\n",
      "ask文本长度小于等于30：22086\n",
      "ask文本长度小于等于40：31439\n",
      "ask文本长度大于150：3381\n",
      "ask文本长度大于200：952\n",
      "ask文本长度大于250：373\n",
      "ask文本长度大于350：90\n",
      "ask文本长度大于450：37\n",
      "ask文本长度大于512：18\n"
     ]
    }
   ],
   "execution_count": 6
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-07-23T06:29:40.259099Z",
     "start_time": "2025-07-23T06:29:40.167258Z"
    }
   },
   "cell_type": "code",
   "source": [
    "# 画出ask长度分布图，直方图\n",
    "plt.figure(figsize=(10, 6))\n",
    "plt.hist(df['ask_len'], bins=50, color='skyblue', edgecolor='black')\n",
    "plt.title('ask文本长度分布')\n",
    "plt.xlabel('文本长度')\n",
    "plt.ylabel('频数')\n",
    "plt.grid(True)\n",
    "plt.show()"
   ],
   "id": "99ac62112d10d4ef",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 7
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-07-23T06:29:41.243260Z",
     "start_time": "2025-07-23T06:29:40.916865Z"
    }
   },
   "cell_type": "code",
   "source": [
    "plt.figure(figsize=(10, 6))\n",
    "sns.histplot(df['ask_len'], bins=50, kde=True, color='skyblue')\n",
    "plt.title('ask文本长度分布（带密度曲线）')\n",
    "plt.xlabel('文本长度')\n",
    "plt.ylabel('频数')\n",
    "plt.grid(True)\n",
    "plt.show()"
   ],
   "id": "8b6d26d3b334ba72",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 8
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-07-23T06:29:41.849196Z",
     "start_time": "2025-07-23T06:29:41.828414Z"
    }
   },
   "cell_type": "code",
   "source": [
    "df['title_len'] = df['title'].apply(lambda x: len(x))\n",
    "print(f'title文本长度平均值：{df.title_len.mean()}')\n",
    "print(f'title文本长度标准差：{df.title_len.std()}')\n",
    "print(f'title文本长度最大值：{df.title_len.max()}')\n",
    "print(f'title文本长度最小值：{df.title_len.min()}')"
   ],
   "id": "7101d0a9244435ef",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "title文本长度平均值：13.668284088895888\n",
      "title文本长度标准差：3.5970518328829444\n",
      "title文本长度最大值：22\n",
      "title文本长度最小值：2\n"
     ]
    }
   ],
   "execution_count": 9
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-07-23T06:29:42.584268Z",
     "start_time": "2025-07-23T06:29:42.556686Z"
    }
   },
   "cell_type": "code",
   "source": [
    "print(f'title文本长度小于等于5：{len(df[df.title_len <= 5])}')\n",
    "print(f'title文本长度小于等于10：{len(df[df.title_len <= 10])}')\n",
    "print(f'title文本长度小于等于20：{len(df[df.title_len <= 20])}')\n",
    "print(f'title文本长度小于等于25：{len(df[df.title_len <= 25])}')"
   ],
   "id": "ddaaa35a34633f0c",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "title文本长度小于等于5：262\n",
      "title文本长度小于等于10：20322\n",
      "title文本长度小于等于20：96524\n",
      "title文本长度小于等于25：101602\n"
     ]
    }
   ],
   "execution_count": 10
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-07-23T06:29:43.334774Z",
     "start_time": "2025-07-23T06:29:43.254770Z"
    }
   },
   "cell_type": "code",
   "source": [
    "# title文本长度直方图\n",
    "plt.figure(figsize=(10, 6))\n",
    "plt.hist(df['title_len'], bins=20, color='lightgreen', edgecolor='black')\n",
    "plt.title('title文本长度分布')\n",
    "plt.xlabel('文本长度')\n",
    "plt.ylabel('频数')\n",
    "plt.grid(True)\n",
    "plt.show()"
   ],
   "id": "d15b92c997140050",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 11
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-07-23T06:29:44.208186Z",
     "start_time": "2025-07-23T06:29:44.144465Z"
    }
   },
   "cell_type": "code",
   "source": [
    "# title文本长度箱体图\n",
    "plt.figure(figsize=(8, 6))\n",
    "plt.boxplot(df['title_len'], vert=False)\n",
    "plt.title('title文本长度箱型图')\n",
    "plt.xlabel('文本长度')\n",
    "plt.grid(True)\n",
    "plt.show()"
   ],
   "id": "daf3d5d05b7a9761",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 12
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-07-23T06:29:46.233412Z",
     "start_time": "2025-07-23T06:29:45.121386Z"
    }
   },
   "cell_type": "code",
   "source": [
    "# ask和title长度分布对比\n",
    "plt.figure(figsize=(12, 6))\n",
    "\n",
    "# ask_len\n",
    "plt.subplot(1, 2, 1)\n",
    "sns.histplot(df['ask_len'], bins=50, kde=True, color='skyblue')\n",
    "plt.title('ask文本长度分布')\n",
    "plt.xlabel('文本长度')\n",
    "plt.ylabel('频数')\n",
    "\n",
    "# title_len\n",
    "plt.subplot(1, 2, 2)\n",
    "sns.histplot(df['title_len'], bins=20, kde=True, color='lightgreen')\n",
    "plt.title('title文本长度分布')\n",
    "plt.xlabel('文本长度')\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ],
   "id": "548fc3679e0c9163",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 1200x600 with 2 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 13
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-07-23T06:29:47.345498Z",
     "start_time": "2025-07-23T06:29:47.264513Z"
    }
   },
   "cell_type": "code",
   "source": [
    "# ask长度的累积分布图CDF\n",
    "plt.figure(figsize=(12, 6))\n",
    "values, base = np.histogram(df['ask_len'], bins=50, density=True)\n",
    "cumulative = np.cumsum(values)\n",
    "plt.plot(base[:-1], cumulative, c='blue')\n",
    "plt.title('ask文本长度的累积分布')\n",
    "plt.xlabel('文本长度')\n",
    "plt.ylabel('累积频率')\n",
    "plt.grid(True)\n",
    "plt.show()"
   ],
   "id": "d1385d5b58dbd3af",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 14
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-07-23T06:29:49.420408Z",
     "start_time": "2025-07-23T06:29:49.407707Z"
    }
   },
   "cell_type": "code",
   "source": [
    "# 查看ask文本中小于等于5的数据，前30条\n",
    "tmp_df = df[df['ask_len'] <= 5]\n",
    "tmp_df.head(30)"
   ],
   "id": "23b891dc3c80966",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "      department              title ask  \\\n",
       "36010       耳鼻喉科       请问鼻息肉有哪些治疗方法   无   \n",
       "36019         内科      宝宝拉肚子有什么方法治疗？   无   \n",
       "36021      营养保健科      宝宝睡觉不踏实怎么处理好？   无   \n",
       "36022         内科    针对有什么方法治疗？过敏性紫癜   无   \n",
       "36024         内科     我宝宝肚子疼有什么方法治疗？   无   \n",
       "36025       耳鼻喉科       我家宝宝鼻塞怎么处理好？   无   \n",
       "36026       新生儿科      请问新生儿如何晒太阳去黄疸   无   \n",
       "36028      营养保健科      请问三个月的宝宝能吃米粉吗   无   \n",
       "36030      营养保健科        针对宝宝大便干燥怎么办   无   \n",
       "36031      营养保健科          请问如何给宝宝断奶   无   \n",
       "36032       神经内科       请问如何培养孩子的注意力   无   \n",
       "36033         内科  想知道小孩急性支气管炎怎么处理好？   无   \n",
       "36034       新生儿科   针对新生儿血管瘤有什么方法治疗？   无   \n",
       "36035       神经内科  关于小孩反复发烧是什么因素导致的？   无   \n",
       "36036      营养保健科        请问婴儿几个月能加辅食   无   \n",
       "36038       新生儿科       请问新生儿正常体温是多少   无   \n",
       "36039      营养保健科       请问婴儿什么时候能吃蛋清   无   \n",
       "36040         内科       请问宝宝体温38度正常吗   无   \n",
       "36041         内科        宝宝干咳了怎么处理好？   无   \n",
       "36042         内科       请问婴儿发烧怎么处理好？   无   \n",
       "36043         内科     关于婴儿肺炎有什么方法治疗？   无   \n",
       "36044         内科        一岁宝宝拉肚子怎么回事   无   \n",
       "36045         内科        我宝宝发热怎么处理好？   无   \n",
       "36047      营养保健科       请问婴儿几个月可以加辅食   无   \n",
       "36048      营养保健科          请问宝宝中暑怎么办   无   \n",
       "36049       耳鼻喉科   想了解小儿流鼻血有什么方法治疗？   无   \n",
       "36050         外科         宝宝一天拉几次才正常   无   \n",
       "36053         外科         请问小便频繁怎么回事   无   \n",
       "36054         内科    为什么宝宝不吃奶粉怎么处理好？   无   \n",
       "36060         外科      请问婴儿睡觉不踏实怎么回事   无   \n",
       "\n",
       "                                                  answer  ask_len  title_len  \n",
       "36010  鼻息肉一定要通过手术的方法治疗，口服药物是没有方法治疗的，建议及时的多喝水忌辛辣食物手术后要...        1         12  \n",
       "36019  您好，宝宝腹泻多见于受凉，母乳性腹泻或病毒感染，肠炎，菌群失调等。应注意合理喂养，保证宝宝吃...        1         13  \n",
       "36021  这个情况是孩子缺乏微量元素造成的。可以给孩子口服健脾生血颗粒，龙母壮骨颗粒来进行治疗，这样就...        1         13  \n",
       "36022  你好，建议你首先查一下过敏原看看，以后避免接触这些过敏原，另外可以口服点息斯敏试试，配合激素...        1         15  \n",
       "36024  孩子的症状就是有肠系膜淋巴结肿大引起的症状，引起的原因就是感染后引起的淋巴结肿大后引起的痛庝...        1         14  \n",
       "36025  属于受凉受寒引起的感冒，需要服用中成药风寒感冒颗粒调理，清淡饮食多饮水戒辛辣油腻烟酒，注意休...        1         12  \n",
       "36026  一定要及时的去医院检查一下是否有病理性的黄疸引起的症状建议及时的检查一下确诊在照射的方法治疗...        1         13  \n",
       "36028  您好，建议你在等一个月，3个月太早了，一般建议可以在4个月的时候适当喂一些米粉，要纯米粉，不...        1         13  \n",
       "36030  你的这种情况可能是津亏肠燥，津液亏损，肠失濡润，传导失职，以大便燥结、排便困难及津亏症状为主...        1         11  \n",
       "36031  您好,麦芽和雌激素.但是,这些都是辅助的,刚开始回奶,奶无论如何都会涨,很疼.这时一定要把奶...        1          9  \n",
       "36032  孩子生活中虽需要团体生活的机会，但也有个人活动的时候。在安静的环境中，使心灵逐渐沉静，发掘学...        1         12  \n",
       "36033  急性支气管炎，多因为细菌感染所致，请到医院呼吸内科检查，做胸大片确诊。要积极治疗，避免诱发肺...        1         17  \n",
       "36034  新生儿血管瘤起源于皮肤血管的良性肿瘤，生时或出生后三个月至六个月。有时不必治疗就可痊愈；但具...        1         16  \n",
       "36035  孩子很有可能是有炎症引起的，物理降温的方法是可以用湿毛巾擦擦孩子的背部、腋窝、大腿等，最好是...        1         17  \n",
       "36036  根据你的描述属于婴儿营养有关，一般是在3个月时适当添加辅食，易消化易吸收饮食，避免不良刺激，...        1         11  \n",
       "36038           您好， 新生儿的体温一般是在36.5-37.2之间， 结合孩子的体温观察看看。         1         12  \n",
       "36039  这个要先吃鸡蛋黄，之后才能吃鸡蛋白的。一般宝宝在4个月就可以吃鸡蛋黄了，但是还不能吃鸡蛋白，...        1         12  \n",
       "36040  发热是机体对抗病原体感染的一种正常反应，如果体温不超过38.5摄氏度，一般是不用退烧药的。如...        1         12  \n",
       "36041  你好,考虑支气管感染或者肺炎.建议看医生听诊和透视确诊,必要时拍片检查确诊.轻微的感染可以服...        1         11  \n",
       "36042  正常体温参考值，口腔体温范围36.7℃～37.7℃之间，腋窝温度范围36.0℃～37.4℃之...        1         12  \n",
       "36043  你的这种情况可能是肺炎，抗感染治疗是肺炎治疗的最主要环节。细菌性肺炎的治疗要针对病原体进行治...        1         14  \n",
       "36044  你好，小宝宝多数都会这样的，是宝宝的肠子蠕动的声音，宝宝要是有点点消化不良的时候就会这样的。...        1         11  \n",
       "36045  你好，宝宝发热建议带宝宝做一个血常规的检查，看是病毒感染引起的还是细菌感染引起的,单纯使用退...        1         11  \n",
       "36047  宝宝3个月左右时，可以开始添加一些辅食了。这期间可以给他吃些水果汁和菜汤。完全人工喂养的宝宝...        1         12  \n",
       "36048  保持合适的环境温度。应保持室内空气新鲜、阳光适宜，有微微的自然风，但应避免直吹风和过堂风。如...        1          9  \n",
       "36049  你好 给孩子喝些绿豆汤或绿豆稀饭，绿豆性寒味甘，能清凉解毒，清热解烦，对脾气暴躁、心烦意乱的...        1         16  \n",
       "36050  根据你的描述是有个体差异的，需要正确对待一般是1-2次，正确对待增加营养补充维生素微量元素，...        1         10  \n",
       "36053  你的这种情况可能是泌尿系感染，泌尿系感染是由细菌引起的肾盂肾炎、膀胱炎、尿道炎等病的总称，建...        1         10  \n",
       "36054  最好食品当然是母乳，又有抗体，宝宝又喜欢当然也容易消化不上火。不过，您也不要太担心，现在的奶...        1         15  \n",
       "36060  您好 考虑孩子缺锌 缺钙的可能性大建议化验微量元素看看 如果是缺锌吃点葡萄糖酸锌或是甘草锌 ...        1         13  "
      ],
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>department</th>\n",
       "      <th>title</th>\n",
       "      <th>ask</th>\n",
       "      <th>answer</th>\n",
       "      <th>ask_len</th>\n",
       "      <th>title_len</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>36010</th>\n",
       "      <td>耳鼻喉科</td>\n",
       "      <td>请问鼻息肉有哪些治疗方法</td>\n",
       "      <td>无</td>\n",
       "      <td>鼻息肉一定要通过手术的方法治疗，口服药物是没有方法治疗的，建议及时的多喝水忌辛辣食物手术后要...</td>\n",
       "      <td>1</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36019</th>\n",
       "      <td>内科</td>\n",
       "      <td>宝宝拉肚子有什么方法治疗？</td>\n",
       "      <td>无</td>\n",
       "      <td>您好，宝宝腹泻多见于受凉，母乳性腹泻或病毒感染，肠炎，菌群失调等。应注意合理喂养，保证宝宝吃...</td>\n",
       "      <td>1</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36021</th>\n",
       "      <td>营养保健科</td>\n",
       "      <td>宝宝睡觉不踏实怎么处理好？</td>\n",
       "      <td>无</td>\n",
       "      <td>这个情况是孩子缺乏微量元素造成的。可以给孩子口服健脾生血颗粒，龙母壮骨颗粒来进行治疗，这样就...</td>\n",
       "      <td>1</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36022</th>\n",
       "      <td>内科</td>\n",
       "      <td>针对有什么方法治疗？过敏性紫癜</td>\n",
       "      <td>无</td>\n",
       "      <td>你好，建议你首先查一下过敏原看看，以后避免接触这些过敏原，另外可以口服点息斯敏试试，配合激素...</td>\n",
       "      <td>1</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36024</th>\n",
       "      <td>内科</td>\n",
       "      <td>我宝宝肚子疼有什么方法治疗？</td>\n",
       "      <td>无</td>\n",
       "      <td>孩子的症状就是有肠系膜淋巴结肿大引起的症状，引起的原因就是感染后引起的淋巴结肿大后引起的痛庝...</td>\n",
       "      <td>1</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36025</th>\n",
       "      <td>耳鼻喉科</td>\n",
       "      <td>我家宝宝鼻塞怎么处理好？</td>\n",
       "      <td>无</td>\n",
       "      <td>属于受凉受寒引起的感冒，需要服用中成药风寒感冒颗粒调理，清淡饮食多饮水戒辛辣油腻烟酒，注意休...</td>\n",
       "      <td>1</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36026</th>\n",
       "      <td>新生儿科</td>\n",
       "      <td>请问新生儿如何晒太阳去黄疸</td>\n",
       "      <td>无</td>\n",
       "      <td>一定要及时的去医院检查一下是否有病理性的黄疸引起的症状建议及时的检查一下确诊在照射的方法治疗...</td>\n",
       "      <td>1</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36028</th>\n",
       "      <td>营养保健科</td>\n",
       "      <td>请问三个月的宝宝能吃米粉吗</td>\n",
       "      <td>无</td>\n",
       "      <td>您好，建议你在等一个月，3个月太早了，一般建议可以在4个月的时候适当喂一些米粉，要纯米粉，不...</td>\n",
       "      <td>1</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36030</th>\n",
       "      <td>营养保健科</td>\n",
       "      <td>针对宝宝大便干燥怎么办</td>\n",
       "      <td>无</td>\n",
       "      <td>你的这种情况可能是津亏肠燥，津液亏损，肠失濡润，传导失职，以大便燥结、排便困难及津亏症状为主...</td>\n",
       "      <td>1</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36031</th>\n",
       "      <td>营养保健科</td>\n",
       "      <td>请问如何给宝宝断奶</td>\n",
       "      <td>无</td>\n",
       "      <td>您好,麦芽和雌激素.但是,这些都是辅助的,刚开始回奶,奶无论如何都会涨,很疼.这时一定要把奶...</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36032</th>\n",
       "      <td>神经内科</td>\n",
       "      <td>请问如何培养孩子的注意力</td>\n",
       "      <td>无</td>\n",
       "      <td>孩子生活中虽需要团体生活的机会，但也有个人活动的时候。在安静的环境中，使心灵逐渐沉静，发掘学...</td>\n",
       "      <td>1</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36033</th>\n",
       "      <td>内科</td>\n",
       "      <td>想知道小孩急性支气管炎怎么处理好？</td>\n",
       "      <td>无</td>\n",
       "      <td>急性支气管炎，多因为细菌感染所致，请到医院呼吸内科检查，做胸大片确诊。要积极治疗，避免诱发肺...</td>\n",
       "      <td>1</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36034</th>\n",
       "      <td>新生儿科</td>\n",
       "      <td>针对新生儿血管瘤有什么方法治疗？</td>\n",
       "      <td>无</td>\n",
       "      <td>新生儿血管瘤起源于皮肤血管的良性肿瘤，生时或出生后三个月至六个月。有时不必治疗就可痊愈；但具...</td>\n",
       "      <td>1</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36035</th>\n",
       "      <td>神经内科</td>\n",
       "      <td>关于小孩反复发烧是什么因素导致的？</td>\n",
       "      <td>无</td>\n",
       "      <td>孩子很有可能是有炎症引起的，物理降温的方法是可以用湿毛巾擦擦孩子的背部、腋窝、大腿等，最好是...</td>\n",
       "      <td>1</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36036</th>\n",
       "      <td>营养保健科</td>\n",
       "      <td>请问婴儿几个月能加辅食</td>\n",
       "      <td>无</td>\n",
       "      <td>根据你的描述属于婴儿营养有关，一般是在3个月时适当添加辅食，易消化易吸收饮食，避免不良刺激，...</td>\n",
       "      <td>1</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36038</th>\n",
       "      <td>新生儿科</td>\n",
       "      <td>请问新生儿正常体温是多少</td>\n",
       "      <td>无</td>\n",
       "      <td>您好， 新生儿的体温一般是在36.5-37.2之间， 结合孩子的体温观察看看。</td>\n",
       "      <td>1</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36039</th>\n",
       "      <td>营养保健科</td>\n",
       "      <td>请问婴儿什么时候能吃蛋清</td>\n",
       "      <td>无</td>\n",
       "      <td>这个要先吃鸡蛋黄，之后才能吃鸡蛋白的。一般宝宝在4个月就可以吃鸡蛋黄了，但是还不能吃鸡蛋白，...</td>\n",
       "      <td>1</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36040</th>\n",
       "      <td>内科</td>\n",
       "      <td>请问宝宝体温38度正常吗</td>\n",
       "      <td>无</td>\n",
       "      <td>发热是机体对抗病原体感染的一种正常反应，如果体温不超过38.5摄氏度，一般是不用退烧药的。如...</td>\n",
       "      <td>1</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36041</th>\n",
       "      <td>内科</td>\n",
       "      <td>宝宝干咳了怎么处理好？</td>\n",
       "      <td>无</td>\n",
       "      <td>你好,考虑支气管感染或者肺炎.建议看医生听诊和透视确诊,必要时拍片检查确诊.轻微的感染可以服...</td>\n",
       "      <td>1</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36042</th>\n",
       "      <td>内科</td>\n",
       "      <td>请问婴儿发烧怎么处理好？</td>\n",
       "      <td>无</td>\n",
       "      <td>正常体温参考值，口腔体温范围36.7℃～37.7℃之间，腋窝温度范围36.0℃～37.4℃之...</td>\n",
       "      <td>1</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36043</th>\n",
       "      <td>内科</td>\n",
       "      <td>关于婴儿肺炎有什么方法治疗？</td>\n",
       "      <td>无</td>\n",
       "      <td>你的这种情况可能是肺炎，抗感染治疗是肺炎治疗的最主要环节。细菌性肺炎的治疗要针对病原体进行治...</td>\n",
       "      <td>1</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36044</th>\n",
       "      <td>内科</td>\n",
       "      <td>一岁宝宝拉肚子怎么回事</td>\n",
       "      <td>无</td>\n",
       "      <td>你好，小宝宝多数都会这样的，是宝宝的肠子蠕动的声音，宝宝要是有点点消化不良的时候就会这样的。...</td>\n",
       "      <td>1</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36045</th>\n",
       "      <td>内科</td>\n",
       "      <td>我宝宝发热怎么处理好？</td>\n",
       "      <td>无</td>\n",
       "      <td>你好，宝宝发热建议带宝宝做一个血常规的检查，看是病毒感染引起的还是细菌感染引起的,单纯使用退...</td>\n",
       "      <td>1</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36047</th>\n",
       "      <td>营养保健科</td>\n",
       "      <td>请问婴儿几个月可以加辅食</td>\n",
       "      <td>无</td>\n",
       "      <td>宝宝3个月左右时，可以开始添加一些辅食了。这期间可以给他吃些水果汁和菜汤。完全人工喂养的宝宝...</td>\n",
       "      <td>1</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36048</th>\n",
       "      <td>营养保健科</td>\n",
       "      <td>请问宝宝中暑怎么办</td>\n",
       "      <td>无</td>\n",
       "      <td>保持合适的环境温度。应保持室内空气新鲜、阳光适宜，有微微的自然风，但应避免直吹风和过堂风。如...</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36049</th>\n",
       "      <td>耳鼻喉科</td>\n",
       "      <td>想了解小儿流鼻血有什么方法治疗？</td>\n",
       "      <td>无</td>\n",
       "      <td>你好 给孩子喝些绿豆汤或绿豆稀饭，绿豆性寒味甘，能清凉解毒，清热解烦，对脾气暴躁、心烦意乱的...</td>\n",
       "      <td>1</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36050</th>\n",
       "      <td>外科</td>\n",
       "      <td>宝宝一天拉几次才正常</td>\n",
       "      <td>无</td>\n",
       "      <td>根据你的描述是有个体差异的，需要正确对待一般是1-2次，正确对待增加营养补充维生素微量元素，...</td>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36053</th>\n",
       "      <td>外科</td>\n",
       "      <td>请问小便频繁怎么回事</td>\n",
       "      <td>无</td>\n",
       "      <td>你的这种情况可能是泌尿系感染，泌尿系感染是由细菌引起的肾盂肾炎、膀胱炎、尿道炎等病的总称，建...</td>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36054</th>\n",
       "      <td>内科</td>\n",
       "      <td>为什么宝宝不吃奶粉怎么处理好？</td>\n",
       "      <td>无</td>\n",
       "      <td>最好食品当然是母乳，又有抗体，宝宝又喜欢当然也容易消化不上火。不过，您也不要太担心，现在的奶...</td>\n",
       "      <td>1</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36060</th>\n",
       "      <td>外科</td>\n",
       "      <td>请问婴儿睡觉不踏实怎么回事</td>\n",
       "      <td>无</td>\n",
       "      <td>您好 考虑孩子缺锌 缺钙的可能性大建议化验微量元素看看 如果是缺锌吃点葡萄糖酸锌或是甘草锌 ...</td>\n",
       "      <td>1</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "execution_count": 15
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-07-23T06:29:56.300487Z",
     "start_time": "2025-07-23T06:29:56.255769Z"
    }
   },
   "cell_type": "code",
   "source": [
    "df['text'] = df['title'] + ' 描述：' + df['ask']\n",
    "df.head(30)"
   ],
   "id": "47b6f62fc925eb05",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "   department              title  \\\n",
       "0       营养保健科        小儿肥胖超重该如何治疗   \n",
       "1       营养保健科        小儿肥胖超重该怎样医治   \n",
       "2       营养保健科        小儿肥胖能吃该如何治疗   \n",
       "3       营养保健科        小儿肥胖能吃该如何医治   \n",
       "4       营养保健科         小儿肥胖懒应怎样治疗   \n",
       "5       营养保健科    小儿肥胖能吃理应如何治效果才好   \n",
       "6       营养保健科       小儿肥胖能吃该如何治疗好   \n",
       "7       营养保健科          小儿肥胖懒怎样诊治   \n",
       "8       营养保健科        小儿肥胖懒怎样治疗才好   \n",
       "9       营养保健科     小儿肥胖不爱运动应当如何治疗   \n",
       "10      营养保健科   小儿肥胖不爱运动该如何治效果才好   \n",
       "11      营养保健科      小儿肥胖不爱运动该如何诊治   \n",
       "12      营养保健科   小儿肥胖不爱运动应怎样治效果才好   \n",
       "13      营养保健科    小儿肥胖不爱运动应怎样治效果好   \n",
       "14      营养保健科    小儿肥胖不爱运动应怎样治疗才好   \n",
       "15      营养保健科      小儿肥胖不爱运动该如何医治   \n",
       "16      营养保健科   小儿肥胖不爱吃蔬菜怎样治效果才好   \n",
       "17      营养保健科    小儿肥胖不爱吃蔬菜该如何治疗好   \n",
       "18      营养保健科   小儿肥胖不爱吃蔬菜该如何治疗才好   \n",
       "19      营养保健科    小儿肥胖不爱吃蔬菜怎样治效果好   \n",
       "20      营养保健科    小儿肥胖爱吃肉应当如何治疗才好   \n",
       "21      营养保健科    小儿肥胖爱吃肉理应怎样治效果好   \n",
       "22      营养保健科      小儿肥胖爱吃肉应当如何诊治   \n",
       "23      营养保健科  小儿肥胖不爱吃蔬菜该如何治效果才好   \n",
       "24      营养保健科      小儿肥胖爱吃肉理应如何治疗   \n",
       "25      营养保健科     小儿肥胖爱吃肉理应怎样治疗好   \n",
       "26      营养保健科      小儿肥胖爱吃肉理应如何医治   \n",
       "27      营养保健科     小儿肥胖爱吃肉理应如何治疗好   \n",
       "28      营养保健科       孩子肥胖能吃理应如何医治   \n",
       "29      营养保健科       孩子肥胖能吃理应如何治疗   \n",
       "\n",
       "                                                  ask  \\\n",
       "0   女宝宝，刚7岁，这一年，察觉到，我家孩子身上肉很多，而且，食量非常的大，平时都不喜欢吃去玩，...   \n",
       "1   男孩子，刚4岁，最近，发现，我家孩子体重要比别的孩子重很多，而且，最近越来越能吃了，还特别的...   \n",
       "2   男宝，已经5岁，今年，察觉到，孩子身上越来越肉乎了，同时，吃的饭也比一般孩子多，平时都不喜欢...   \n",
       "3   女宝宝，目前2岁，近期，观察到，我家孩子越来越胖了，而且，吃起来好像也特别不节制，叫他运动也...   \n",
       "4   男孩，7岁，上小学了，这一年，观察到，孩子身上越来越肉乎了，而且，食量非常的大，平时都不喜欢...   \n",
       "5   女宝宝，刚8岁，今年，察觉到，我家孩子体重要比别的孩子重很多，同时，最近越来越能吃了，叫他运...   \n",
       "6   女宝宝，刚5岁，这一年，觉得，我家孩子体重要比别的孩子重很多，而且，吃起来好像也特别不节制，...   \n",
       "7   我家的孩子是男宝宝，7岁，这一年，觉得，孩子身上越来越肉乎了，另外，一顿可以吃好几碗饭，喜欢...   \n",
       "8   我家男宝，今年2岁，近期，觉得，我家孩子身上肉很多，并且，最近越来越能吃了，还特别的懒，请问...   \n",
       "9   女宝宝，刚4岁，最近，察觉到，我家孩子身上肉很多，并且，吃的饭也比一般孩子多，还特别的懒，请...   \n",
       "10  男孩，10岁，上小学了，今年，发现，孩子身上越来越肉乎了，另外，一顿可以吃好几碗饭，平时都不...   \n",
       "11  女宝宝，刚8岁，今年，察觉到，孩子身上越来越肉乎了，并且，一顿可以吃好几碗饭，平时都不喜欢吃...   \n",
       "12  男宝，已经8岁，最近几周，观察到，孩子身上越来越肉乎了，并且，吃起来好像也特别不节制，叫他运...   \n",
       "13  男宝，已经3岁，这一年，发现，我家孩子越来越胖了，另外，吃起来好像也特别不节制，平时都不喜欢...   \n",
       "14  男孩子，刚5岁，近期，觉得，孩子好像越来越胖了，同时，食量非常的大，叫他运动也不愿意，请问：...   \n",
       "15  女宝宝，目前7岁，近期，觉得，我家孩子身上肉很多，并且，吃的饭也比一般孩子多，叫他运动也不愿...   \n",
       "16  女宝宝，刚5岁，今年，觉得，孩子好像越来越胖了，而且，吃起来好像也特别不节制，还不爱运动，请...   \n",
       "17  女宝宝，目前9岁，近期，发觉，我家孩子身上肉很多，同时，最近越来越能吃了，还不爱运动，请问：...   \n",
       "18  男宝，已经2岁，这一年，观察到，我家孩子体重要比别的孩子重很多，另外，吃的饭也比一般孩子多，...   \n",
       "19  男孩子，刚1岁，这一年，发觉，孩子好像越来越胖了，并且，吃起来好像也特别不节制，还不爱运动，...   \n",
       "20  女宝宝，刚2岁，今年，察觉到，我家孩子越来越胖了，并且，吃起来好像也特别不节制，还不爱运动，...   \n",
       "21  我家男宝，今年4岁，最近几周，发觉，孩子好像越来越胖了，另外，吃的饭也比一般孩子多，平时都不...   \n",
       "22  女宝宝，目前9岁，最近，发觉，我家孩子体重要比别的孩子重很多，另外，吃的饭也比一般孩子多，叫...   \n",
       "23  我家女宝，今年5岁，最近，发现，我家孩子越来越胖了，并且，最近越来越能吃了，还特别的懒，请问...   \n",
       "24  男孩，10岁，上小学了，最近，察觉到，孩子好像越来越胖了，另外，最近越来越能吃了，还不爱运动...   \n",
       "25  男宝，已经2岁，今年，发觉，我家孩子身上肉很多，并且，吃起来好像也特别不节制，叫他运动也不愿...   \n",
       "26  我家女宝，今年5岁，最近，发觉，我家孩子越来越胖了，同时，吃的饭也比一般孩子多，喜欢吃完饭就...   \n",
       "27  我家女宝，今年8岁，最近几周，发现，孩子身上越来越肉乎了，另外，一顿可以吃好几碗饭，平时都不...   \n",
       "28  我家的孩子是男宝宝，2岁，最近几周，发现，孩子好像越来越胖了，而且，最近越来越能吃了，平时都...   \n",
       "29  女宝宝，刚7岁，今年，觉得，孩子好像越来越胖了，另外，一顿可以吃好几碗饭，喜欢吃完饭就躺着，...   \n",
       "\n",
       "                                               answer  ask_len  title_len  \\\n",
       "0   孩子出现肥胖症的情况。家长要通过孩子运功和健康的饮食来缓解他的症状，可以先让他做一些有氧运动...       61         11   \n",
       "1   孩子一旦患上肥胖症家长要先通过运动和饮食来改变孩子的情况，要让孩子做一些他这个年龄段能做的运...       63         11   \n",
       "2   当孩子患上肥胖症的时候家长可以增加孩子的运动量和控制他的饮食来改变症状，像游泳，爬坡这类游泳...       65         11   \n",
       "3   当孩子患上肥胖症的时候家长可以增加孩子的运动量和控制他的饮食来改变症状，家长要监督孩子做一些...       65         11   \n",
       "4   当孩子患上肥胖症的时候家长可以增加孩子的运动量和控制他的饮食来改变症状，给孩子在承受范围内安...       64         10   \n",
       "5   孩子出现肥胖症的情况。家长要通过孩子运功和健康的饮食来缓解他的症状，可以给孩子安排游泳或者慢...       71         15   \n",
       "6   小儿肥胖你可以先给孩子制定运动量和改变饮食，可以先让他做一些有氧运动，比如慢跑，爬坡，游泳等...       68         12   \n",
       "7   如果孩子患有的肥胖症，家长要从他的运动和饮食上面开始，家长可以让孩子做一些有利于改变肥胖症的...       66          9   \n",
       "8   如果孩子得了肥胖症的话家长要通过运动跟饮食改变他现在的情况，要让孩子做一些他这个年龄段能做的...       59         11   \n",
       "9   孩子一旦患上肥胖症家长要先通过运动和饮食来改变孩子的情况，给孩子在承受范围内安排孩子游泳，慢...       63         14   \n",
       "10  当孩子身体出现肥胖的时候，家长要给孩子制定一套运动方案和健康饮食，家长可以让孩子做一些有利于...       72         16   \n",
       "11  改变孩子的肥胖要从让他爱运动和不挑食开始，要让孩子做一些他这个年龄段能做的运动，如游泳，慢跑...       66         13   \n",
       "12  当孩子身体出现肥胖的时候，家长要给孩子制定一套运动方案和健康饮食，对于小儿肥胖多做一些有氧运...       72         16   \n",
       "13  当孩子身体出现肥胖的时候，家长要给孩子制定一套运动方案和健康饮食，像游泳，爬坡这类游泳运动对...       69         15   \n",
       "14  当孩子身体出现肥胖的时候，家长要给孩子制定一套运动方案和健康饮食，家长可以让孩子做一些有利于...       62         15   \n",
       "15  孩子一旦患上肥胖症家长要先通过运动和饮食来改变孩子的情况，家长可以让孩子做一些有利于改变肥胖...       65         13   \n",
       "16  儿童患有肥胖的话家长要控制孩子的饮食跟加大他的运动量，要让孩子做一些他这个年龄段能做的运动，...       65         16   \n",
       "17  孩子身体肥胖可以先让孩子增加与运动量和控制饮食来缓解症状，可以给孩子安排游泳或者慢跑这样的有...       62         15   \n",
       "18  孩子身体肥胖可以先让孩子增加与运动量和控制饮食来缓解症状，可以先让他做一些有氧运动，比如慢跑...       75         16   \n",
       "19  孩子出现肥胖症的情况。家长要通过孩子运功和健康的饮食来缓解他的症状，家长要监督孩子做一些有氧...       65         15   \n",
       "20  想让孩子改变肥胖症的症状要给孩子合理的安排运动和饮食，可以先让他做一些有氧运动，比如慢跑，爬...       65         15   \n",
       "21  孩子身体肥胖可以先让孩子增加与运动量和控制饮食来缓解症状，可以先让他做一些有氧运动，比如慢跑...       71         15   \n",
       "22  针对一些小儿肥胖症状明显的的话家长让孩子多做一些运动不要挑食，家长可以让孩子做一些有利于改变...       71         13   \n",
       "23  如果孩子患有肥胖症那么家长要先通过让他运动量和控制来改变他的症状，可以先让孩子在做运动的时候...       65         17   \n",
       "24  改变孩子的肥胖要从让他爱运动和不挑食开始，给孩子在承受范围内安排孩子游泳，慢跑等运动，要给孩...       64         13   \n",
       "25  孩子一旦患上肥胖症家长要先通过运动和饮食来改变孩子的情况，家长可以让孩子做一些有利于改变肥胖...       66         14   \n",
       "26  如果孩子得了肥胖症的话家长要通过运动跟饮食改变他现在的情况，可以先让孩子学学游泳，游泳时水的...       66         13   \n",
       "27  改变孩子的肥胖要从让他爱运动和不挑食开始，可以先让他做一些有氧运动，比如慢跑，爬坡，游泳等，...       70         14   \n",
       "28  改变孩子的肥胖要从让他爱运动和不挑食开始，可以给孩子安排游泳或者慢跑这样的有氧运动，并且多吃...       69         12   \n",
       "29  如果孩子患有肥胖症那么家长要先通过让他运动量和控制来改变他的症状，可以先让孩子学学游泳，游泳...       62         12   \n",
       "\n",
       "                                                 text  \n",
       "0   小儿肥胖超重该如何治疗 描述：女宝宝，刚7岁，这一年，察觉到，我家孩子身上肉很多，而且，食量...  \n",
       "1   小儿肥胖超重该怎样医治 描述：男孩子，刚4岁，最近，发现，我家孩子体重要比别的孩子重很多，而...  \n",
       "2   小儿肥胖能吃该如何治疗 描述：男宝，已经5岁，今年，察觉到，孩子身上越来越肉乎了，同时，吃的...  \n",
       "3   小儿肥胖能吃该如何医治 描述：女宝宝，目前2岁，近期，观察到，我家孩子越来越胖了，而且，吃起...  \n",
       "4   小儿肥胖懒应怎样治疗 描述：男孩，7岁，上小学了，这一年，观察到，孩子身上越来越肉乎了，而且...  \n",
       "5   小儿肥胖能吃理应如何治效果才好 描述：女宝宝，刚8岁，今年，察觉到，我家孩子体重要比别的孩子...  \n",
       "6   小儿肥胖能吃该如何治疗好 描述：女宝宝，刚5岁，这一年，觉得，我家孩子体重要比别的孩子重很多...  \n",
       "7   小儿肥胖懒怎样诊治 描述：我家的孩子是男宝宝，7岁，这一年，觉得，孩子身上越来越肉乎了，另外...  \n",
       "8   小儿肥胖懒怎样治疗才好 描述：我家男宝，今年2岁，近期，觉得，我家孩子身上肉很多，并且，最近...  \n",
       "9   小儿肥胖不爱运动应当如何治疗 描述：女宝宝，刚4岁，最近，察觉到，我家孩子身上肉很多，并且，...  \n",
       "10  小儿肥胖不爱运动该如何治效果才好 描述：男孩，10岁，上小学了，今年，发现，孩子身上越来越肉...  \n",
       "11  小儿肥胖不爱运动该如何诊治 描述：女宝宝，刚8岁，今年，察觉到，孩子身上越来越肉乎了，并且，...  \n",
       "12  小儿肥胖不爱运动应怎样治效果才好 描述：男宝，已经8岁，最近几周，观察到，孩子身上越来越肉乎...  \n",
       "13  小儿肥胖不爱运动应怎样治效果好 描述：男宝，已经3岁，这一年，发现，我家孩子越来越胖了，另外...  \n",
       "14  小儿肥胖不爱运动应怎样治疗才好 描述：男孩子，刚5岁，近期，觉得，孩子好像越来越胖了，同时，...  \n",
       "15  小儿肥胖不爱运动该如何医治 描述：女宝宝，目前7岁，近期，觉得，我家孩子身上肉很多，并且，吃...  \n",
       "16  小儿肥胖不爱吃蔬菜怎样治效果才好 描述：女宝宝，刚5岁，今年，觉得，孩子好像越来越胖了，而且...  \n",
       "17  小儿肥胖不爱吃蔬菜该如何治疗好 描述：女宝宝，目前9岁，近期，发觉，我家孩子身上肉很多，同时...  \n",
       "18  小儿肥胖不爱吃蔬菜该如何治疗才好 描述：男宝，已经2岁，这一年，观察到，我家孩子体重要比别的...  \n",
       "19  小儿肥胖不爱吃蔬菜怎样治效果好 描述：男孩子，刚1岁，这一年，发觉，孩子好像越来越胖了，并且...  \n",
       "20  小儿肥胖爱吃肉应当如何治疗才好 描述：女宝宝，刚2岁，今年，察觉到，我家孩子越来越胖了，并且...  \n",
       "21  小儿肥胖爱吃肉理应怎样治效果好 描述：我家男宝，今年4岁，最近几周，发觉，孩子好像越来越胖了...  \n",
       "22  小儿肥胖爱吃肉应当如何诊治 描述：女宝宝，目前9岁，最近，发觉，我家孩子体重要比别的孩子重很...  \n",
       "23  小儿肥胖不爱吃蔬菜该如何治效果才好 描述：我家女宝，今年5岁，最近，发现，我家孩子越来越胖了...  \n",
       "24  小儿肥胖爱吃肉理应如何治疗 描述：男孩，10岁，上小学了，最近，察觉到，孩子好像越来越胖了，...  \n",
       "25  小儿肥胖爱吃肉理应怎样治疗好 描述：男宝，已经2岁，今年，发觉，我家孩子身上肉很多，并且，吃...  \n",
       "26  小儿肥胖爱吃肉理应如何医治 描述：我家女宝，今年5岁，最近，发觉，我家孩子越来越胖了，同时，...  \n",
       "27  小儿肥胖爱吃肉理应如何治疗好 描述：我家女宝，今年8岁，最近几周，发现，孩子身上越来越肉乎了...  \n",
       "28  孩子肥胖能吃理应如何医治 描述：我家的孩子是男宝宝，2岁，最近几周，发现，孩子好像越来越胖了...  \n",
       "29  孩子肥胖能吃理应如何治疗 描述：女宝宝，刚7岁，今年，觉得，孩子好像越来越胖了，另外，一顿可...  "
      ],
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       "      <td>营养保健科</td>\n",
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       "      <td>女宝宝，刚7岁，这一年，察觉到，我家孩子身上肉很多，而且，食量非常的大，平时都不喜欢吃去玩，...</td>\n",
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       "      <td>61</td>\n",
       "      <td>11</td>\n",
       "      <td>小儿肥胖超重该如何治疗 描述：女宝宝，刚7岁，这一年，察觉到，我家孩子身上肉很多，而且，食量...</td>\n",
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       "      <th>1</th>\n",
       "      <td>营养保健科</td>\n",
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       "      <td>男孩子，刚4岁，最近，发现，我家孩子体重要比别的孩子重很多，而且，最近越来越能吃了，还特别的...</td>\n",
       "      <td>孩子一旦患上肥胖症家长要先通过运动和饮食来改变孩子的情况，要让孩子做一些他这个年龄段能做的运...</td>\n",
       "      <td>63</td>\n",
       "      <td>11</td>\n",
       "      <td>小儿肥胖超重该怎样医治 描述：男孩子，刚4岁，最近，发现，我家孩子体重要比别的孩子重很多，而...</td>\n",
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       "      <td>男宝，已经5岁，今年，察觉到，孩子身上越来越肉乎了，同时，吃的饭也比一般孩子多，平时都不喜欢...</td>\n",
       "      <td>当孩子患上肥胖症的时候家长可以增加孩子的运动量和控制他的饮食来改变症状，像游泳，爬坡这类游泳...</td>\n",
       "      <td>65</td>\n",
       "      <td>11</td>\n",
       "      <td>小儿肥胖能吃该如何治疗 描述：男宝，已经5岁，今年，察觉到，孩子身上越来越肉乎了，同时，吃的...</td>\n",
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       "      <td>女宝宝，目前2岁，近期，观察到，我家孩子越来越胖了，而且，吃起来好像也特别不节制，叫他运动也...</td>\n",
       "      <td>当孩子患上肥胖症的时候家长可以增加孩子的运动量和控制他的饮食来改变症状，家长要监督孩子做一些...</td>\n",
       "      <td>65</td>\n",
       "      <td>11</td>\n",
       "      <td>小儿肥胖能吃该如何医治 描述：女宝宝，目前2岁，近期，观察到，我家孩子越来越胖了，而且，吃起...</td>\n",
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       "      <th>4</th>\n",
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       "      <td>男孩，7岁，上小学了，这一年，观察到，孩子身上越来越肉乎了，而且，食量非常的大，平时都不喜欢...</td>\n",
       "      <td>当孩子患上肥胖症的时候家长可以增加孩子的运动量和控制他的饮食来改变症状，给孩子在承受范围内安...</td>\n",
       "      <td>64</td>\n",
       "      <td>10</td>\n",
       "      <td>小儿肥胖懒应怎样治疗 描述：男孩，7岁，上小学了，这一年，观察到，孩子身上越来越肉乎了，而且...</td>\n",
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       "      <td>71</td>\n",
       "      <td>15</td>\n",
       "      <td>小儿肥胖能吃理应如何治效果才好 描述：女宝宝，刚8岁，今年，察觉到，我家孩子体重要比别的孩子...</td>\n",
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       "      <td>营养保健科</td>\n",
       "      <td>小儿肥胖能吃该如何治疗好</td>\n",
       "      <td>女宝宝，刚5岁，这一年，觉得，我家孩子体重要比别的孩子重很多，而且，吃起来好像也特别不节制，...</td>\n",
       "      <td>小儿肥胖你可以先给孩子制定运动量和改变饮食，可以先让他做一些有氧运动，比如慢跑，爬坡，游泳等...</td>\n",
       "      <td>68</td>\n",
       "      <td>12</td>\n",
       "      <td>小儿肥胖能吃该如何治疗好 描述：女宝宝，刚5岁，这一年，觉得，我家孩子体重要比别的孩子重很多...</td>\n",
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       "      <td>我家的孩子是男宝宝，7岁，这一年，觉得，孩子身上越来越肉乎了，另外，一顿可以吃好几碗饭，喜欢...</td>\n",
       "      <td>如果孩子患有的肥胖症，家长要从他的运动和饮食上面开始，家长可以让孩子做一些有利于改变肥胖症的...</td>\n",
       "      <td>66</td>\n",
       "      <td>9</td>\n",
       "      <td>小儿肥胖懒怎样诊治 描述：我家的孩子是男宝宝，7岁，这一年，觉得，孩子身上越来越肉乎了，另外...</td>\n",
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       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>营养保健科</td>\n",
       "      <td>小儿肥胖懒怎样治疗才好</td>\n",
       "      <td>我家男宝，今年2岁，近期，觉得，我家孩子身上肉很多，并且，最近越来越能吃了，还特别的懒，请问...</td>\n",
       "      <td>如果孩子得了肥胖症的话家长要通过运动跟饮食改变他现在的情况，要让孩子做一些他这个年龄段能做的...</td>\n",
       "      <td>59</td>\n",
       "      <td>11</td>\n",
       "      <td>小儿肥胖懒怎样治疗才好 描述：我家男宝，今年2岁，近期，觉得，我家孩子身上肉很多，并且，最近...</td>\n",
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       "      <td>女宝宝，刚4岁，最近，察觉到，我家孩子身上肉很多，并且，吃的饭也比一般孩子多，还特别的懒，请...</td>\n",
       "      <td>孩子一旦患上肥胖症家长要先通过运动和饮食来改变孩子的情况，给孩子在承受范围内安排孩子游泳，慢...</td>\n",
       "      <td>63</td>\n",
       "      <td>14</td>\n",
       "      <td>小儿肥胖不爱运动应当如何治疗 描述：女宝宝，刚4岁，最近，察觉到，我家孩子身上肉很多，并且，...</td>\n",
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       "      <td>营养保健科</td>\n",
       "      <td>小儿肥胖不爱运动该如何治效果才好</td>\n",
       "      <td>男孩，10岁，上小学了，今年，发现，孩子身上越来越肉乎了，另外，一顿可以吃好几碗饭，平时都不...</td>\n",
       "      <td>当孩子身体出现肥胖的时候，家长要给孩子制定一套运动方案和健康饮食，家长可以让孩子做一些有利于...</td>\n",
       "      <td>72</td>\n",
       "      <td>16</td>\n",
       "      <td>小儿肥胖不爱运动该如何治效果才好 描述：男孩，10岁，上小学了，今年，发现，孩子身上越来越肉...</td>\n",
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       "      <th>11</th>\n",
       "      <td>营养保健科</td>\n",
       "      <td>小儿肥胖不爱运动该如何诊治</td>\n",
       "      <td>女宝宝，刚8岁，今年，察觉到，孩子身上越来越肉乎了，并且，一顿可以吃好几碗饭，平时都不喜欢吃...</td>\n",
       "      <td>改变孩子的肥胖要从让他爱运动和不挑食开始，要让孩子做一些他这个年龄段能做的运动，如游泳，慢跑...</td>\n",
       "      <td>66</td>\n",
       "      <td>13</td>\n",
       "      <td>小儿肥胖不爱运动该如何诊治 描述：女宝宝，刚8岁，今年，察觉到，孩子身上越来越肉乎了，并且，...</td>\n",
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       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>营养保健科</td>\n",
       "      <td>小儿肥胖不爱运动应怎样治效果才好</td>\n",
       "      <td>男宝，已经8岁，最近几周，观察到，孩子身上越来越肉乎了，并且，吃起来好像也特别不节制，叫他运...</td>\n",
       "      <td>当孩子身体出现肥胖的时候，家长要给孩子制定一套运动方案和健康饮食，对于小儿肥胖多做一些有氧运...</td>\n",
       "      <td>72</td>\n",
       "      <td>16</td>\n",
       "      <td>小儿肥胖不爱运动应怎样治效果才好 描述：男宝，已经8岁，最近几周，观察到，孩子身上越来越肉乎...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>营养保健科</td>\n",
       "      <td>小儿肥胖不爱运动应怎样治效果好</td>\n",
       "      <td>男宝，已经3岁，这一年，发现，我家孩子越来越胖了，另外，吃起来好像也特别不节制，平时都不喜欢...</td>\n",
       "      <td>当孩子身体出现肥胖的时候，家长要给孩子制定一套运动方案和健康饮食，像游泳，爬坡这类游泳运动对...</td>\n",
       "      <td>69</td>\n",
       "      <td>15</td>\n",
       "      <td>小儿肥胖不爱运动应怎样治效果好 描述：男宝，已经3岁，这一年，发现，我家孩子越来越胖了，另外...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>营养保健科</td>\n",
       "      <td>小儿肥胖不爱运动应怎样治疗才好</td>\n",
       "      <td>男孩子，刚5岁，近期，觉得，孩子好像越来越胖了，同时，食量非常的大，叫他运动也不愿意，请问：...</td>\n",
       "      <td>当孩子身体出现肥胖的时候，家长要给孩子制定一套运动方案和健康饮食，家长可以让孩子做一些有利于...</td>\n",
       "      <td>62</td>\n",
       "      <td>15</td>\n",
       "      <td>小儿肥胖不爱运动应怎样治疗才好 描述：男孩子，刚5岁，近期，觉得，孩子好像越来越胖了，同时，...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>营养保健科</td>\n",
       "      <td>小儿肥胖不爱运动该如何医治</td>\n",
       "      <td>女宝宝，目前7岁，近期，觉得，我家孩子身上肉很多，并且，吃的饭也比一般孩子多，叫他运动也不愿...</td>\n",
       "      <td>孩子一旦患上肥胖症家长要先通过运动和饮食来改变孩子的情况，家长可以让孩子做一些有利于改变肥胖...</td>\n",
       "      <td>65</td>\n",
       "      <td>13</td>\n",
       "      <td>小儿肥胖不爱运动该如何医治 描述：女宝宝，目前7岁，近期，觉得，我家孩子身上肉很多，并且，吃...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>营养保健科</td>\n",
       "      <td>小儿肥胖不爱吃蔬菜怎样治效果才好</td>\n",
       "      <td>女宝宝，刚5岁，今年，觉得，孩子好像越来越胖了，而且，吃起来好像也特别不节制，还不爱运动，请...</td>\n",
       "      <td>儿童患有肥胖的话家长要控制孩子的饮食跟加大他的运动量，要让孩子做一些他这个年龄段能做的运动，...</td>\n",
       "      <td>65</td>\n",
       "      <td>16</td>\n",
       "      <td>小儿肥胖不爱吃蔬菜怎样治效果才好 描述：女宝宝，刚5岁，今年，觉得，孩子好像越来越胖了，而且...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>营养保健科</td>\n",
       "      <td>小儿肥胖不爱吃蔬菜该如何治疗好</td>\n",
       "      <td>女宝宝，目前9岁，近期，发觉，我家孩子身上肉很多，同时，最近越来越能吃了，还不爱运动，请问：...</td>\n",
       "      <td>孩子身体肥胖可以先让孩子增加与运动量和控制饮食来缓解症状，可以给孩子安排游泳或者慢跑这样的有...</td>\n",
       "      <td>62</td>\n",
       "      <td>15</td>\n",
       "      <td>小儿肥胖不爱吃蔬菜该如何治疗好 描述：女宝宝，目前9岁，近期，发觉，我家孩子身上肉很多，同时...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>营养保健科</td>\n",
       "      <td>小儿肥胖不爱吃蔬菜该如何治疗才好</td>\n",
       "      <td>男宝，已经2岁，这一年，观察到，我家孩子体重要比别的孩子重很多，另外，吃的饭也比一般孩子多，...</td>\n",
       "      <td>孩子身体肥胖可以先让孩子增加与运动量和控制饮食来缓解症状，可以先让他做一些有氧运动，比如慢跑...</td>\n",
       "      <td>75</td>\n",
       "      <td>16</td>\n",
       "      <td>小儿肥胖不爱吃蔬菜该如何治疗才好 描述：男宝，已经2岁，这一年，观察到，我家孩子体重要比别的...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>营养保健科</td>\n",
       "      <td>小儿肥胖不爱吃蔬菜怎样治效果好</td>\n",
       "      <td>男孩子，刚1岁，这一年，发觉，孩子好像越来越胖了，并且，吃起来好像也特别不节制，还不爱运动，...</td>\n",
       "      <td>孩子出现肥胖症的情况。家长要通过孩子运功和健康的饮食来缓解他的症状，家长要监督孩子做一些有氧...</td>\n",
       "      <td>65</td>\n",
       "      <td>15</td>\n",
       "      <td>小儿肥胖不爱吃蔬菜怎样治效果好 描述：男孩子，刚1岁，这一年，发觉，孩子好像越来越胖了，并且...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>营养保健科</td>\n",
       "      <td>小儿肥胖爱吃肉应当如何治疗才好</td>\n",
       "      <td>女宝宝，刚2岁，今年，察觉到，我家孩子越来越胖了，并且，吃起来好像也特别不节制，还不爱运动，...</td>\n",
       "      <td>想让孩子改变肥胖症的症状要给孩子合理的安排运动和饮食，可以先让他做一些有氧运动，比如慢跑，爬...</td>\n",
       "      <td>65</td>\n",
       "      <td>15</td>\n",
       "      <td>小儿肥胖爱吃肉应当如何治疗才好 描述：女宝宝，刚2岁，今年，察觉到，我家孩子越来越胖了，并且...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>营养保健科</td>\n",
       "      <td>小儿肥胖爱吃肉理应怎样治效果好</td>\n",
       "      <td>我家男宝，今年4岁，最近几周，发觉，孩子好像越来越胖了，另外，吃的饭也比一般孩子多，平时都不...</td>\n",
       "      <td>孩子身体肥胖可以先让孩子增加与运动量和控制饮食来缓解症状，可以先让他做一些有氧运动，比如慢跑...</td>\n",
       "      <td>71</td>\n",
       "      <td>15</td>\n",
       "      <td>小儿肥胖爱吃肉理应怎样治效果好 描述：我家男宝，今年4岁，最近几周，发觉，孩子好像越来越胖了...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>营养保健科</td>\n",
       "      <td>小儿肥胖爱吃肉应当如何诊治</td>\n",
       "      <td>女宝宝，目前9岁，最近，发觉，我家孩子体重要比别的孩子重很多，另外，吃的饭也比一般孩子多，叫...</td>\n",
       "      <td>针对一些小儿肥胖症状明显的的话家长让孩子多做一些运动不要挑食，家长可以让孩子做一些有利于改变...</td>\n",
       "      <td>71</td>\n",
       "      <td>13</td>\n",
       "      <td>小儿肥胖爱吃肉应当如何诊治 描述：女宝宝，目前9岁，最近，发觉，我家孩子体重要比别的孩子重很...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>营养保健科</td>\n",
       "      <td>小儿肥胖不爱吃蔬菜该如何治效果才好</td>\n",
       "      <td>我家女宝，今年5岁，最近，发现，我家孩子越来越胖了，并且，最近越来越能吃了，还特别的懒，请问...</td>\n",
       "      <td>如果孩子患有肥胖症那么家长要先通过让他运动量和控制来改变他的症状，可以先让孩子在做运动的时候...</td>\n",
       "      <td>65</td>\n",
       "      <td>17</td>\n",
       "      <td>小儿肥胖不爱吃蔬菜该如何治效果才好 描述：我家女宝，今年5岁，最近，发现，我家孩子越来越胖了...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>营养保健科</td>\n",
       "      <td>小儿肥胖爱吃肉理应如何治疗</td>\n",
       "      <td>男孩，10岁，上小学了，最近，察觉到，孩子好像越来越胖了，另外，最近越来越能吃了，还不爱运动...</td>\n",
       "      <td>改变孩子的肥胖要从让他爱运动和不挑食开始，给孩子在承受范围内安排孩子游泳，慢跑等运动，要给孩...</td>\n",
       "      <td>64</td>\n",
       "      <td>13</td>\n",
       "      <td>小儿肥胖爱吃肉理应如何治疗 描述：男孩，10岁，上小学了，最近，察觉到，孩子好像越来越胖了，...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>营养保健科</td>\n",
       "      <td>小儿肥胖爱吃肉理应怎样治疗好</td>\n",
       "      <td>男宝，已经2岁，今年，发觉，我家孩子身上肉很多，并且，吃起来好像也特别不节制，叫他运动也不愿...</td>\n",
       "      <td>孩子一旦患上肥胖症家长要先通过运动和饮食来改变孩子的情况，家长可以让孩子做一些有利于改变肥胖...</td>\n",
       "      <td>66</td>\n",
       "      <td>14</td>\n",
       "      <td>小儿肥胖爱吃肉理应怎样治疗好 描述：男宝，已经2岁，今年，发觉，我家孩子身上肉很多，并且，吃...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>营养保健科</td>\n",
       "      <td>小儿肥胖爱吃肉理应如何医治</td>\n",
       "      <td>我家女宝，今年5岁，最近，发觉，我家孩子越来越胖了，同时，吃的饭也比一般孩子多，喜欢吃完饭就...</td>\n",
       "      <td>如果孩子得了肥胖症的话家长要通过运动跟饮食改变他现在的情况，可以先让孩子学学游泳，游泳时水的...</td>\n",
       "      <td>66</td>\n",
       "      <td>13</td>\n",
       "      <td>小儿肥胖爱吃肉理应如何医治 描述：我家女宝，今年5岁，最近，发觉，我家孩子越来越胖了，同时，...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>营养保健科</td>\n",
       "      <td>小儿肥胖爱吃肉理应如何治疗好</td>\n",
       "      <td>我家女宝，今年8岁，最近几周，发现，孩子身上越来越肉乎了，另外，一顿可以吃好几碗饭，平时都不...</td>\n",
       "      <td>改变孩子的肥胖要从让他爱运动和不挑食开始，可以先让他做一些有氧运动，比如慢跑，爬坡，游泳等，...</td>\n",
       "      <td>70</td>\n",
       "      <td>14</td>\n",
       "      <td>小儿肥胖爱吃肉理应如何治疗好 描述：我家女宝，今年8岁，最近几周，发现，孩子身上越来越肉乎了...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>营养保健科</td>\n",
       "      <td>孩子肥胖能吃理应如何医治</td>\n",
       "      <td>我家的孩子是男宝宝，2岁，最近几周，发现，孩子好像越来越胖了，而且，最近越来越能吃了，平时都...</td>\n",
       "      <td>改变孩子的肥胖要从让他爱运动和不挑食开始，可以给孩子安排游泳或者慢跑这样的有氧运动，并且多吃...</td>\n",
       "      <td>69</td>\n",
       "      <td>12</td>\n",
       "      <td>孩子肥胖能吃理应如何医治 描述：我家的孩子是男宝宝，2岁，最近几周，发现，孩子好像越来越胖了...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>营养保健科</td>\n",
       "      <td>孩子肥胖能吃理应如何治疗</td>\n",
       "      <td>女宝宝，刚7岁，今年，觉得，孩子好像越来越胖了，另外，一顿可以吃好几碗饭，喜欢吃完饭就躺着，...</td>\n",
       "      <td>如果孩子患有肥胖症那么家长要先通过让他运动量和控制来改变他的症状，可以先让孩子学学游泳，游泳...</td>\n",
       "      <td>62</td>\n",
       "      <td>12</td>\n",
       "      <td>孩子肥胖能吃理应如何治疗 描述：女宝宝，刚7岁，今年，觉得，孩子好像越来越胖了，另外，一顿可...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
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   "execution_count": 16
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   "cell_type": "code",
   "source": [
    "nd_df = df.drop(columns=['title', 'ask', 'answer', 'ask_len', 'title_len'])\n",
    "nd_df.head(10)"
   ],
   "id": "4d6bd2c53ae38d23",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "  department                                               text\n",
       "0      营养保健科  小儿肥胖超重该如何治疗 描述：女宝宝，刚7岁，这一年，察觉到，我家孩子身上肉很多，而且，食量...\n",
       "1      营养保健科  小儿肥胖超重该怎样医治 描述：男孩子，刚4岁，最近，发现，我家孩子体重要比别的孩子重很多，而...\n",
       "2      营养保健科  小儿肥胖能吃该如何治疗 描述：男宝，已经5岁，今年，察觉到，孩子身上越来越肉乎了，同时，吃的...\n",
       "3      营养保健科  小儿肥胖能吃该如何医治 描述：女宝宝，目前2岁，近期，观察到，我家孩子越来越胖了，而且，吃起...\n",
       "4      营养保健科  小儿肥胖懒应怎样治疗 描述：男孩，7岁，上小学了，这一年，观察到，孩子身上越来越肉乎了，而且...\n",
       "5      营养保健科  小儿肥胖能吃理应如何治效果才好 描述：女宝宝，刚8岁，今年，察觉到，我家孩子体重要比别的孩子...\n",
       "6      营养保健科  小儿肥胖能吃该如何治疗好 描述：女宝宝，刚5岁，这一年，觉得，我家孩子体重要比别的孩子重很多...\n",
       "7      营养保健科  小儿肥胖懒怎样诊治 描述：我家的孩子是男宝宝，7岁，这一年，觉得，孩子身上越来越肉乎了，另外...\n",
       "8      营养保健科  小儿肥胖懒怎样治疗才好 描述：我家男宝，今年2岁，近期，觉得，我家孩子身上肉很多，并且，最近...\n",
       "9      营养保健科  小儿肥胖不爱运动应当如何治疗 描述：女宝宝，刚4岁，最近，察觉到，我家孩子身上肉很多，并且，..."
      ],
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       "      <td>小儿肥胖超重该如何治疗 描述：女宝宝，刚7岁，这一年，察觉到，我家孩子身上肉很多，而且，食量...</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>营养保健科</td>\n",
       "      <td>小儿肥胖超重该怎样医治 描述：男孩子，刚4岁，最近，发现，我家孩子体重要比别的孩子重很多，而...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>营养保健科</td>\n",
       "      <td>小儿肥胖能吃该如何治疗 描述：男宝，已经5岁，今年，察觉到，孩子身上越来越肉乎了，同时，吃的...</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>营养保健科</td>\n",
       "      <td>小儿肥胖能吃该如何医治 描述：女宝宝，目前2岁，近期，观察到，我家孩子越来越胖了，而且，吃起...</td>\n",
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       "      <td>小儿肥胖懒应怎样治疗 描述：男孩，7岁，上小学了，这一年，观察到，孩子身上越来越肉乎了，而且...</td>\n",
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       "      <th>5</th>\n",
       "      <td>营养保健科</td>\n",
       "      <td>小儿肥胖能吃理应如何治效果才好 描述：女宝宝，刚8岁，今年，察觉到，我家孩子体重要比别的孩子...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>营养保健科</td>\n",
       "      <td>小儿肥胖能吃该如何治疗好 描述：女宝宝，刚5岁，这一年，觉得，我家孩子体重要比别的孩子重很多...</td>\n",
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       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>营养保健科</td>\n",
       "      <td>小儿肥胖懒怎样诊治 描述：我家的孩子是男宝宝，7岁，这一年，觉得，孩子身上越来越肉乎了，另外...</td>\n",
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       "      <th>8</th>\n",
       "      <td>营养保健科</td>\n",
       "      <td>小儿肥胖懒怎样治疗才好 描述：我家男宝，今年2岁，近期，觉得，我家孩子身上肉很多，并且，最近...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>营养保健科</td>\n",
       "      <td>小儿肥胖不爱运动应当如何治疗 描述：女宝宝，刚4岁，最近，察觉到，我家孩子身上肉很多，并且，...</td>\n",
       "    </tr>\n",
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   "cell_type": "code",
   "source": "nd_df.info()",
   "id": "80eebf358ec11556",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
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   "execution_count": 18
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  {
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   "cell_type": "code",
   "source": "nd_df['department'].value_counts()",
   "id": "90f39b41500b7b80",
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    {
     "data": {
      "text/plain": [
       "department\n",
       "内科       25636\n",
       "营养保健科    18322\n",
       "耳鼻喉科     17337\n",
       "神经内科     13759\n",
       "新生儿科     10069\n",
       "外科        6350\n",
       "儿科其他      5839\n",
       "眼科        2528\n",
       "骨科        1741\n",
       "小儿口腔科       14\n",
       "精神心理         7\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "execution_count": 19
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-07-23T06:30:12.665066Z",
     "start_time": "2025-07-23T06:30:12.652121Z"
    }
   },
   "cell_type": "code",
   "source": [
    "department_list = ['内科', '营养保健科', '耳鼻喉科', '神经内科', '新生儿科', '外科', '儿科其他', '眼科', '骨科']\n",
    "with open('my_test_processed_data/class.txt', 'w', encoding='utf-8') as fw:\n",
    "    fw.write('\\n'.join(department_list))"
   ],
   "id": "5a9e6804db220eaa",
   "outputs": [],
   "execution_count": 20
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-07-23T06:30:16.398904Z",
     "start_time": "2025-07-23T06:30:16.385957Z"
    }
   },
   "cell_type": "code",
   "source": "department_list.index('儿科其他')",
   "id": "cb453c83b0ec14c2",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "6"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "execution_count": 21
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-07-23T06:30:18.650324Z",
     "start_time": "2025-07-23T06:30:18.611931Z"
    }
   },
   "cell_type": "code",
   "source": [
    "for idx, dept in enumerate(department_list):\n",
    "    print(f\"{idx}:{dept}\")\n",
    "    nd_df.loc[df['department'] == dept, 'department'] = idx\n",
    "nd_df['department'].value_counts()"
   ],
   "id": "c11947d5fce3df8d",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0:内科\n",
      "1:营养保健科\n",
      "2:耳鼻喉科\n",
      "3:神经内科\n",
      "4:新生儿科\n",
      "5:外科\n",
      "6:儿科其他\n",
      "7:眼科\n",
      "8:骨科\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "department\n",
       "0        25636\n",
       "1        18322\n",
       "2        17337\n",
       "3        13759\n",
       "4        10069\n",
       "5         6350\n",
       "6         5839\n",
       "7         2528\n",
       "8         1741\n",
       "小儿口腔科       14\n",
       "精神心理         7\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "execution_count": 22
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-07-23T06:32:38.144544Z",
     "start_time": "2025-07-23T06:32:38.122688Z"
    }
   },
   "cell_type": "code",
   "source": [
    "# 把小儿口腔科和精神心理改为儿科其他\n",
    "nd_df.loc[df['department'] == '小儿口腔科', 'department'] = 6\n",
    "nd_df.loc[df['department'] == '精神心理', 'department'] = 6\n",
    "nd_df['department'].value_counts()"
   ],
   "id": "44937a8f702cb70b",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "department\n",
       "0    25636\n",
       "1    18322\n",
       "2    17337\n",
       "3    13759\n",
       "4    10069\n",
       "5     6350\n",
       "6     5860\n",
       "7     2528\n",
       "8     1741\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "execution_count": 26
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-07-23T06:36:33.664864Z",
     "start_time": "2025-07-23T06:36:33.632663Z"
    }
   },
   "cell_type": "code",
   "source": [
    "nd_df['text_len'] = nd_df['text'].apply(lambda x: len(x))\n",
    "# nd_df.head(10)\n",
    "print(f'text文本长度平均值：{nd_df.text_len.mean()}')\n",
    "print(f'text文本长度标准差：{nd_df.text_len.std()}')\n",
    "print(f'text文本长度最大值：{nd_df.text_len.max()}')\n",
    "print(f'text文本长度最小值：{nd_df.text_len.min()}')"
   ],
   "id": "cbb06126a26678c4",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "text文本长度平均值：77.49866144367238\n",
      "text文本长度标准差：43.0809698597309\n",
      "text文本长度最大值：1028\n",
      "text文本长度最小值：9\n"
     ]
    }
   ],
   "execution_count": 30
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-07-23T06:38:54.255086Z",
     "start_time": "2025-07-23T06:38:54.233058Z"
    }
   },
   "cell_type": "code",
   "source": [
    "print(f'ask文本长度小于等于5：{len(nd_df[nd_df.text_len <= 5])}')\n",
    "print(f'ask文本长度小于等于10：{len(nd_df[nd_df.text_len <= 10])}')\n",
    "print(f'ask文本长度小于等于20：{len(nd_df[nd_df.text_len <= 20])}')\n",
    "print(f'ask文本长度小于等于30：{len(nd_df[nd_df.text_len <= 30])}')\n",
    "print(f'ask文本长度小于等于40：{len(nd_df[nd_df.text_len <= 40])}')\n",
    "print(f'ask文本长度大于150：{len(nd_df[nd_df.text_len > 150])}')\n",
    "print(f'ask文本长度大于200：{len(nd_df[nd_df.text_len > 200])}')\n",
    "print(f'ask文本长度大于250：{len(nd_df[nd_df.text_len > 250])}')\n",
    "print(f'ask文本长度大于350：{len(nd_df[nd_df.text_len > 350])}')\n",
    "print(f'ask文本长度大于450：{len(nd_df[nd_df.text_len > 450])}')\n",
    "print(f'ask文本长度大于512：{len(nd_df[nd_df.text_len > 512])}')"
   ],
   "id": "b82e596e9dd3558b",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ask文本长度小于等于5：0\n",
      "ask文本长度小于等于10：26\n",
      "ask文本长度小于等于20：8963\n",
      "ask文本长度小于等于30：15530\n",
      "ask文本长度小于等于40：18509\n",
      "ask文本长度大于150：4804\n",
      "ask文本长度大于200：1902\n",
      "ask文本长度大于250：549\n",
      "ask文本长度大于350：120\n",
      "ask文本长度大于450：40\n",
      "ask文本长度大于512：21\n"
     ]
    }
   ],
   "execution_count": 31
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-07-23T06:35:32.526772Z",
     "start_time": "2025-07-23T06:35:32.458588Z"
    }
   },
   "cell_type": "code",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 29,
   "source": [
    "# text文本长度直方图\n",
    "plt.figure(figsize=(10, 6))\n",
    "plt.hist(nd_df['text_len'], bins=20, color='lightgreen', edgecolor='black')\n",
    "plt.title('text文本长度分布')\n",
    "plt.xlabel('文本长度')\n",
    "plt.ylabel('频数')\n",
    "plt.grid(True)\n",
    "plt.show()"
   ],
   "id": "f618bdb1d842cadb"
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-07-23T07:01:08.377988Z",
     "start_time": "2025-07-23T07:01:08.334117Z"
    }
   },
   "cell_type": "code",
   "source": [
    "# 切割数据集\n",
    "x_train, x_test, y_train, y_test = train_test_split(nd_df['text'], nd_df['department'], test_size=0.2, random_state=88, stratify=nd_df['department'])\n",
    "type(x_train)\n",
    "y_train.value_counts()"
   ],
   "id": "36adccb2ae3cb3fc",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "department\n",
       "0    20509\n",
       "1    14657\n",
       "2    13870\n",
       "3    11007\n",
       "4     8055\n",
       "5     5080\n",
       "6     4688\n",
       "7     2022\n",
       "8     1393\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "execution_count": 54
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-07-23T07:01:09.375553Z",
     "start_time": "2025-07-23T07:01:09.271877Z"
    }
   },
   "cell_type": "code",
   "source": [
    "train_pd = pd.concat([y_train, x_train], axis=1)\n",
    "# train_pd.head(10)\n",
    "train_pd.to_csv('./my_test_processed_data/pediatric_train.csv', index=False, header=False)"
   ],
   "id": "6eddd36b402d3aad",
   "outputs": [],
   "execution_count": 55
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-07-23T07:04:07.897679Z",
     "start_time": "2025-07-23T07:04:07.874658Z"
    }
   },
   "cell_type": "code",
   "source": [
    "# 再从20%的test中拆分成验证集和测试集\n",
    "x_dev, x_new_test, y_dev, y_new_test = train_test_split(x_test, y_test, test_size=0.5, random_state=168, stratify=y_test)\n",
    "y_dev.value_counts()"
   ],
   "id": "42fd013b4e62d023",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "department\n",
       "0    2563\n",
       "1    1832\n",
       "2    1734\n",
       "3    1376\n",
       "4    1007\n",
       "5     635\n",
       "6     586\n",
       "7     253\n",
       "8     174\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "execution_count": 56
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-07-23T07:05:57.382561Z",
     "start_time": "2025-07-23T07:05:57.353065Z"
    }
   },
   "cell_type": "code",
   "source": [
    "dev_pd = pd.concat([y_dev, x_dev], axis=1)\n",
    "# dev_pd.head(10)\n",
    "dev_pd.to_csv('./my_test_processed_data/pediatric_dev.csv', index=False, header=False)"
   ],
   "id": "7dc697d73acd04ce",
   "outputs": [],
   "execution_count": 58
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-07-23T07:07:02.327756Z",
     "start_time": "2025-07-23T07:07:02.295808Z"
    }
   },
   "cell_type": "code",
   "source": [
    "test_pd = pd.concat([y_new_test, x_new_test], axis=1)\n",
    "test_pd.to_csv('./my_test_processed_data/pediatric_test.csv', index=False, header=False)"
   ],
   "id": "f9d37e342d38fa9b",
   "outputs": [],
   "execution_count": 59
  },
  {
   "metadata": {},
   "cell_type": "code",
   "outputs": [],
   "execution_count": null,
   "source": "",
   "id": "735d3c9c85b7c0c3"
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
